Triple
T246674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Lear |
E5052
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lyn Davis
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
|
E148052
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lyn Davis | Statement: [Norman Lear, spouse, Lyn Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyn Davis Context triple: [Norman Lear, spouse, Lyn Davis]
-
A.
Donna Tubbs
Donna Tubbs is a central character in the animated sitcom universe of Family Guy and The Cleveland Show, known as Cleveland Brown's strong-willed, caring, and often no-nonsense wife.
-
B.
Cathy Ferguson
Cathy Ferguson is the wife of legendary Scottish football manager Sir Alex Ferguson and is known for her long-standing support throughout his career.
-
C.
Emily Drinkard
Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lyn Davis Triple: [Norman Lear, spouse, Lyn Davis]
Generated description
Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyn Davis Target entity description: Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
-
A.
Donna Tubbs
Donna Tubbs is a central character in the animated sitcom universe of Family Guy and The Cleveland Show, known as Cleveland Brown's strong-willed, caring, and often no-nonsense wife.
-
B.
Cathy Ferguson
Cathy Ferguson is the wife of legendary Scottish football manager Sir Alex Ferguson and is known for her long-standing support throughout his career.
-
C.
Emily Drinkard
Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Margo Anderson
Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d13b8088190a3f48f0388d57496 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acaca1f0988190aa95e12ecc86398e |
completed | March 7, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69acaf04879081908f86eda8b0b80f8a |
completed | March 7, 2026, 11:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acaf5ccc488190ab93945c84738d80 |
completed | March 7, 2026, 11:06 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.